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Sweet disguise: Body hides its own RNA from the immune system with sugar

To our immune system, naked RNA is a sign of a viral or bacterial invasion and must be attacked. But our own cells also have RNA. To ward off trouble, our cells clothe their RNA in sugars, Vijay Rathinam and colleagues at the UConn School of Medicine and Ryan Flynn at Boston Children’s Hospital report in Nature.

Ribonucleic acid (RNA) is a family of large biological molecules fundamental to all forms of life, including , bacteria, and animals. Viruses as diverse as measles, influenza, SARS-CoV-2, and rabies all have RNA, which is why the starts attacking when it sees RNA in the bloodstream or in other inappropriate locations. But our own cells have RNA as well, sometimes displaying it on their surface, plain for roaming immune cells to see—and yet the immune system ignores it.

“Recognizing RNA as a sign of infection is problematic, as every in our body has RNA,” says UConn School of Medicine immunologist Vijay Rathinam. The question is, how does our immune system distinguish our own RNA from that of dangerous invaders?

“SuperAgers” Show Cognitive Decline Is Not an Inevitable Part of Aging

For 25 years, scientists at Northwestern Medicine have been studying people aged 80 years and older – dubbed “SuperAgers” – to uncover what makes them stand out.

In a new study, researchers show that these individuals display memory performance comparable to those at least 30 years younger, defying the long-held belief that cognitive decline is an unavoidable part of aging.

The study was published in Alzheimer’s & Dementia.

New “evolution engine” creates super-proteins 100,000x faster

Researchers at Scripps have created T7-ORACLE, a powerful new tool that speeds up evolution, allowing scientists to design and improve proteins thousands of times faster than nature. Using engineered bacteria and a modified viral replication system, this method can create new protein versions in days instead of months. In tests, it quickly produced enzymes that could survive extreme doses of antibiotics, showing how it could help develop better medicines, cancer treatments, and other breakthroughs far more quickly than ever before.

GIGANTIC: Humanoid Robots $100 Trillion+ (deep dive)

Questions to inspire discussion.

Data and Autonomy.

📊 Q: Why is vision data valuable in AI development? A: Vision data is worth more than zero if you can collect and process yataflops and yataflops of data, but worthless without collection capabilities, making the world’s visual data valuable for those who can collect and process it.

🚗 Q: How does solving autonomy relate to AI development? A: Solving autonomy is crucial and requires tons of real world data, which necessitates tons of robots collecting real world data in the real world, creating a cycle of data collection and AI improvement.

Company-Specific Opportunities.

🔋 Q: What advantage does Tesla have in developing humanoid robots? A: Tesla has essentially built the robot’s brain in their vehicles, allowing them to transplant this brain into humanoid robots, giving them a massive head start in development.

Nascent RNA profiling uncovers molecular drivers of cellular differentiation

Researchers at Sylvester Comprehensive Cancer Center, part of the University of Miami Miller School of Medicine, have documented their use of a new RNA sequencing technology to uncover molecular drivers of cellular differentiation that could lead to better regenerative therapies.

In addition to being used in the lab, the technique, Rapid Precision Run-On Sequencing (rPRO-seq), has the potential to help doctors understand patients’ disease states and response to treatment in real time.

The findings appear in two published articles in Molecular Cell.

NSF invests nearly $32M to accelerate novel AI-driven approaches in protein design, strengthening the U.S. bioeconomy

The U.S. National Science Foundation Directorate for Technology, Innovation and Partnerships (NSF TIP) announced an inaugural investment of nearly $32 million to five teams across the U.S. through the NSF Use-Inspired Acceleration of Protein Design (NSF USPRD) initiative. This effort aims to accelerate the translation of artificial intelligence-based approaches to protein design and enable new applications of importance to the U.S. bioeconomy.

“NSF is pleased to bring together experts from both industry and academia to confront and overcome barriers to the widespread adoption of AI-enabled protein design,” said Erwin Gianchandani, NSF assistant director for TIP. “Each of the five awardees will focus on developing novel approaches to translate protein design techniques into practical, market-ready solutions. These efforts aim to unlock new uses for this technology in biomanufacturing, advanced materials, and other critical industries. Simply put, NSF USPRD represents a strategic investment in maintaining American leadership in biotechnology at a time of intense global competition.”

Researchers have made significant progress in predicting the 3D structures of proteins and are now leveraging this knowledge to design proteins with specific, desirable characteristics. These advances have been driven by macromolecular modeling, access to training data, applications of AI and machine learning, and high-throughput methods for protein characterization. The NSF USPRD investment seeks to build on this foundation by bringing together cross-disciplinary and cross-sector experts nationwide. The goal is to extend these advances to enzyme design and accelerate the translation of this work into widespread, real-world applications.

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